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Skull species classification accuracy for each model, as measured on the synthetic image and photograph testing datasets. The synthetic image dataset was composed of renders of 3D skull assets and the photograph dataset was composed of photographs taken from skulls directly. The highest accuracy score for each dataset is underlined and italicised. The “Epochs” column represents the number of epochs each model was trained for. The MMD + Fine-tuning model combines the number of epochs used for the MMD model with the number of subsequent fine-tuning epochs.

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https://figshare.com/articles/dataset/Skull_species_classification_accuracy_for_each_model_as_measured_on_the_synthetic_image_and_photograph_testing_datasets_The_synthetic_image_dataset_was_composed_of_renders_of_3D_skull_assets_and_the_photograph_dataset_was_composed_of_photog/30046327
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Skull species classification accuracy for each model, as measured on the synthetic image and photograph testing datasets. The synthetic image dataset was composed of renders of 3D skull assets and the photograph dataset was composed of photographs taken from skulls directly. The highest accuracy score for each dataset is underlined and italicised. The “Epochs” column represents the number of epochs each model was trained for. The MMD + Fine-tuning model combines the number of epochs used for the MMD model with the number of subsequent fine-tuning epochs.
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2025-09-03
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